Abstract:
Systems and techniques using observed emotional data are described herein. A sequence of visual observations of a subject can be received during execution of an application. An emotional state of the subject can be determined based on the sequence of visual observations. Execution of the application can be modified from a baseline execution using the emotional state.
Abstract:
A method of assessing an individual through facial muscle activity and expressions includes receiving a visual recording stored on a computer-readable medium of an individual's non-verbal responses to a stimulus, the non-verbal response comprising facial expressions of the individual. The recording is accessed to automatically detect and record expressional repositioning of each of a plurality of selected facial features by conducting a computerized comparison of the facial position of each selected facial feature through sequential facial images. The contemporaneously detected and recorded expressional repositionings are automatically coded to an action unit, a combination of action units, and/or at least one emotion. The action unit, combination of action units, and/or at least one emotion are analyzed to assess one or more characteristics of the individual to develop a profile of the individual's personality in relation to the objective for which the individual is being assessed.
Abstract:
The present disclosure relates to a method of assessing consumer reaction to a stimulus, comprising receiving a visual recording stored on a computer-readable medium of facial expressions of at least one human subject as the subject is exposed to a business stimulus so as to generate a chronological sequence of recorded facial images; accessing the computer-readable medium for automatically detecting and recording expressional repositioning of each of a plurality of selected facial features by conducting a computerized comparison of the facial position of each selected facial feature through sequential facial images; automatically coding contemporaneously detected and recorded expressional repositionings to at least a first action unit, wherein the action unit maps to a first set of one or more possible emotions expressed by the human subject; assigning a numerical weight to each of the one or more possible emotions of the first set based upon both the number of emotions in the set and the common emotions in at least a second set of one or more possible emotions related to at least one other second action unit observed within a predetermined time period.
Abstract:
Systems and techniques for emotional analytics for performance improvement are described herein. Performance data of a subject can be received including a specific performance event. Emotional data of the subject corresponding to the specific performance event can be received. A plan to achieve a performance goal for the subject can be determined based on both the performance data and the emotional data. The plan can be presented to a user.
Abstract:
A sample population including a plurality of members participate in a consumer activity for a participation period to assess consumer reaction to the consumer activity. Surface electromyography signals from a zygomatic muscle and electrodermography signals of each member of the sample population are measured during the participation period. Data is recorded including at least a description of a stimulus experienced by each member during the participation period and a description of the interaction between the member and the stimulus. The recorded data is synchronized with the measurements of electromyography signals and electrodermography signals for each member to allow association of the recorded data with the measurements. The electromyography signals are equated or translated to an appeal value and the electrodermography signals are equated or translated to an impact value for each member. At least one of the appeal and impact values are visually represented, identified with the synchronously recorded stimulus.
Abstract:
A method of assessing consumer reaction to a marketing stimulus, involving the steps of (a) exposing a sample population to a marketing stimulus for an exposure period, (b) measuring surface electromyography signals from a zygomatic muscle of each member of the sample population during an exposure period, (c) optionally measuring surface electromyography signals from a corrugator facial muscle of each member of the sample population during the exposure period and combining the measured surface electromyography signals from the zygomatic and corrugator facial muscle of each member of the sample population to produce combined electromyography signals, (d) measuring electrodermography signals of each member of the sample population during the exposure period, (e) equating or translating the electromyography signals to an appeal value for each member, (f) equating or translating the electrodermography signals to an impact value for each member, and (g) visually representing each of the appeal and impact values identified by the marketing stimulus to which the members were exposed when the measurements were taken.
Abstract:
A method of assessing an individual through facial muscle activity and expressions includes receiving a visual recording stored on a computer-readable medium of an individual's non-verbal responses to a stimulus, the non-verbal response comprising facial expressions of the individual. The recording is accessed to automatically detect and record expressional repositioning of each of a plurality of selected facial features by conducting a computerized comparison of the facial position of each selected facial feature through sequential facial images. The contemporaneously detected and recorded expressional repositionings are automatically coded to an action unit, a combination of action units, and/or at least one emotion. The action unit, combination of action units, and/or at least one emotion are analyzed to assess one or more characteristics of the individual to develop a profile of the individual's personality in relation to the objective for which the individual is being assessed.
Abstract:
A method of assessing an individual through facial muscle activity and expressions includes receiving a visual recording stored on a computer-readable medium of an individual's non-verbal responses to a stimulus, the non-verbal response comprising facial expressions of the individual. The recording is accessed to automatically detect and record expressional repositioning of each of a plurality of selected facial features by conducting a computerized comparison of the facial position of each selected facial feature through sequential facial images. The contemporaneously detected and recorded expressional repositionings are automatically coded to an action unit, a combination of action units, and/or at least one emotion. The action unit, combination of action units, and/or at least one emotion are analyzed to assess one or more characteristics of the individual to develop a profile of the individual's personality in relation to the objective for which the individual is being assessed.
Abstract:
A method of assessing consumer reaction to a marketing stimulus, involving the steps of (a) exposing a sample population to a marketing stimulus for a period of time, (b) interviewing members of the sample population immediately after exposure of the members to the marketing stimulus, (c) videotaping any facial expressions and associated verbal comments of individual members of the sample population during the exposure period and interview, (d) reviewing the videotaped facial expressions and associated verbal comments of individual members of the sample population to (1) detect the occurrence of action units, (2) detect the occurrence of a smile, (3) categorize any detected smile as duchenne or social smile, (4) detect the occurrence of any verbal comment associated with a detected smile, and (5) categorize any associated verbal comment as positive, neutral or negative, (e) coding a single action unit or combination of action units to a coded unit, (f) associating coded units with any contemporaneously detected smile, (g) translating the coded unit to a scored unit, (h) tallying the scored unit by scoring unit category, (i) repeating steps (d) through (h) throughout the exposure period, (j) repeating steps (d) through (h) for a plurality of the members of the sample population, (k) calculating an impact value for each scoring unit category by multiplying the tallied number of scored units for each scoring unit category by a predetermined impact factor for that scoring unit category, (l) calculating an appeal value for each scoring unit category by multiplying the tallied number of scored units for each scoring unit category by a predetermined appeal factor for that scoring unit category, (m) combining the impact values obtained for each scoring unit category to obtain an impact score, (n) combining the appeal values obtained for each scoring unit category to obtain an appeal score, and (o) representing the appeal and impact scores with an identification of the corresponding marketing stimulus to which the members were exposed.
Abstract:
A method of assessing consumer reaction to a marketing stimulus, involving the steps of (a) exposing a sample population to a marketing stimulus for a period of time, (b) interviewing members of the sample population immediately after exposure of the members to the marketing stimulus, (c) videotaping any facial expressions and associated verbal comments of individual members of the sample population during the exposure period and interview, (d) reviewing the videotaped facial expressions and associated verbal comments of individual members of the sample population to (1) detect the occurrence of action units, (2) detect the occurrence of a smile, (3) categorize any detected smile as duchenne or social smile, (4) detect the occurrence of any verbal comment associated with a detected smile, and (5) categorize any associated verbal comment as positive, neutral or negative, (e) coding a single action unit or combination of action units to a coded unit, (f) associating coded units with any contemporaneously detected smile, (g) translating the coded unit to a scored unit, (h) tallying the scored unit by scoring unit category, (i) repeating steps (d) through (h) throughout the exposure period, (j) repeating steps (d) through (h) for a plurality of the members of the sample population, (k) calculating an impact value for each scoring unit category by multiplying the tallied number of scored units for each scoring unit category by a predetermined impact factor for that scoring unit category, (l) calculating an appeal value for each scoring unit category by multiplying the tallied number of scored units for each scoring unit category by a predetermined appeal factor for that scoring unit category, (m) combining the impact values obtained for each scoring unit category to obtain an impact score, (n) combining the appeal values obtained for each scoring unit category to obtain an appeal score, and (o) representing the appeal and impact scores with an identification of the corresponding marketing stimulus to which the members were exposed.